​​Role Overview

You’re the technical linchpin between our sales team and clients. As a GenAI Sales Architect, you’ll support discovery and solution-fit calls, shape compelling proposals, and ensure our GenAI offerings—across text, vision, and audio—align perfectly with client needs. Your deep expertise in retrieval-augmented generation (RAG), agentic AI, and function-calling architectures will turn opportunities into robust, future-proof solutions.

Key Responsibilities

• Pre-Sales Support: Participate in client workshops and sales calls to uncover requirements, map business problems to GenAI use cases, and recommend architectures.

• Solution Design: Architect end-to-end GenAI proposals leveraging:

  • RAG Pipelines: Embedding strategies, vector stores, dynamic retrieval flows.

  • Agentic AI: Multi-agent orchestration for workflows, tool use and function calling.

  • Function-Calling: Designing safe, scalable function-execution patterns (e.g., retrieval, data enrichment, custom tool integrations).

  • Multimodal Components: Text generation & summarization, vision pipelines (OCR, image analysis), and audio services (speech-to-text, TTS, voice bots).

• Proposal Development: Draft Statements of Work, high-level architecture diagrams, effort estimates, and risk/mitigation plans in collaboration with sales leadership.

• Technical Evangelism: Deliver live demos and proof-of-concepts; distill complex AI concepts into clear, persuasive narratives for C-level and technical audiences.

• Stakeholder Collaboration: Work alongside global industry leaders to deliver and validate solution architectures, ensuring alignment with best practices and compliance standards.

• Model Governance Advice: Recommend approaches for fine-tuning, bias mitigation, performance monitoring, and MLOps integration in client environments.

Must-Have Qualifications

• 2+ years in a pre-sales, solutions architect, or technical consulting role focused on generative AI.

• Proven track record designing and pitching RAG-driven applications and agentic AI workflows.

• Hands-on with function-calling patterns in LLMs (e.g., OpenAI, Anthropic, Cohere, or similar).

• Strong Python skills and experience integrating LLMs into production pipelines.

• Excellent English communication and presentation skills;

Bonus Skills

• Experience integrating GenAI into enterprise platforms such as Salesforce, ServiceNow, or SAP.

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This job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities at any time.

K2 Partnering Solutions is an equal employment opportunity/affirmative action employer. We do not discriminate on the basis of an individual’s actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws.  Our team is dedicated to this policy with respect to all terms and conditions of employment, including recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, access to facilities and programs, and general treatment during employment.